Impact of aortic morphology on VA-ECMO performance: a combined statistical shape modeling and CFD approach by Marilena Mazzoli, Marilena Mazzoli, Emanuele Gasparotti, Emanuele Vignali, Dorela Haxhiademi, Simona Celi

“…In particular, a new SSM approach was adopted to define 48 synthetic aortic morphologies starting from patient-specific computed tomography datasets. After assessing the morphological differences, the first 10 modes were selected to generate volumetric meshes for a Computational Fluid Dynamics (CFD) analysis. …”
Get full text

Influence of material orientation, loading angle, and single-shot repetition of laser shock peening on surface roughness properties by Lebogang Lebea, Lebogang Lebea, Dawood Desai, Harry Ngwangwa, Fulufhelo Nemavhola

“…The aim of the study is to develop surface roughness parameters using computational methods such as studies have not yet been contemplated. …”
Get full text

Machine Learning Applications in Use-Wear Analysis: A Critical Review by Anastasia Eleftheriadou, Shannon P. McPherron, João Marreiros

“…Involving a broader range of institutions can improve research quality and promote greater diversity of perspectives. Collaboration with computer scientists and computational archaeologists is essential to integrate the expertise necessary for designing and implementing effective ML methods. …”
Get full text

Deep learning-based lung cancer classification of CT images by Mohammad Khalid Faizi, Yan Qiang, Yangyang Wei, Ying Qiao, Juanjuan Zhao, Rukhma Aftab, Zia Urrehman

“…Pretrained on the LUNA16 and LUNA16-K datasets, which consist of annotated CT scans from thousands of patients, DCSwinB was evaluated using ten-fold cross-validation. The model demonstrated superior performance, achieving 90.96% accuracy, 90.56% recall, 89.65% specificity, and an AUC of 0.94, outperforming existing models such as ResNet50 and Swin-T. …”
Get full text

Photon-counting-detector CT outperforms state-of-the-art cone-beam and energy-integrated-detector CT in delineation of dental root canals by Stephan Rau, Martin Peter Pichotka, Alexander Rau, Marco Reisert, Markus Jörg Altenburger, Rainer Schmelzeisen, Fabian Cieplik, Fabian Bamberg, Maximilian Frederik Russe, Wiebke Semper-Hogg

“…Spatial resolution was evaluated via line profiles through the canals, whereby visibility compared to surrounding noise and compared to the ground truth were assessed. …”
Get full text

Attention-Guided Sample-Based Feature Enhancement Network for Crowded Pedestrian Detection Using Vision Sensors by Shuyuan Tang, Yiqing Zhou, Jintao Li, Chang Liu, Jinglin Shi

“…Occlusion presents a major obstacle in the development of pedestrian detection technologies utilizing computer vision. This challenge includes both inter-class occlusion caused by environmental objects obscuring pedestrians, and intra-class occlusion resulting from interactions between pedestrians. …”
Get full text

Methodological approach to development of dosimetric models of the human skeleton for beta-emitting radionuclides by M. O. Degteva, E. A. Shishkina, E. I. Tolstykh, V. I. Zalyapin, P. A. Sharagin, M. A. Smith, B. A. Napier

Get full text

Identification of residual ischemia in the occluded coronary artery irrigation area using myocardial perfusion scintigraphy by Baškot Branislav, Obradović Slobodan, Gligić Branko, Rafajlovski Sašo, Marković Ljuba, Pavlović Miodrag

“…Early after PCI (within two weeks) a control MPS was done to evaluate the effects of the therapy giving the normal findings of myocardial perfusion. …”
Get full text

Impact of Changing Inlet Modes in Ski Face Masks on Adolescent Skiing: A Finite Element Analysis Based on Head Models by Minxin Huang, Ruiqiu Zhang, Xiaocheng Zhang

“…This paper proposes a research approach combining computational fluid dynamics (CFD) and ergonomics to address these issues and enhance the comfort of adolescent skiers. …”
Get full text

Predictive value of MSCT perfusion imaging parameters for poor prognosis in patients with osteonecrosis of the femoral head by Fengyu WU, Heqing WANG, Jianjun ZHOU

“…ObjectiveTo investigate the predictive value of perfusion imaging parameters of multi-slice spiral computed tomography (MSCT) for the poor prognosis in patients with osteonecrosis of the femoral head (ONFH). …”
Get full text

Toward accurate and scalable rainfall estimation using surveillance camera data and a hybrid deep-learning framework by Fiallos-Salguero Manuel, Soon-Thiam Khu, Jingyu Guan, Mingna Wang

Get full text

Fast estimation of patient‐specific organ doses from abdomen and head CT examinations without segmenting internal organs using machine learning models by Wencheng Shao, Liangyong Qu, Xin Lin, Ying Huang, Weihai Zhuo, Haikuan Liu

“…Abstract Background Computed Tomography (CT) imaging is essential for disease detection but carries a risk of cancer due to X‐ray exposure. …”
Get full text

Interobserver Variability in Manual Versus Semi-Automatic CT Assessments of Small Lung Nodule Diameter and Volume by Frida Zacharias, Tony Martin Svahn

“…Three radiologists with four to six years of experience evaluated each nodule in accordance with the Fleischner Society guidelines using standard diameter measurements, semi-automatic lesion diameter measurements, and volumetric assessments. …”
Get full text

SympCoughNet: symptom assisted audio-based COVID-19 detection by Yuhao Lin, Xiu Weng, Bolun Zheng, Weiwei Zhang, Zhanjun Bu, Yu Zhou

Get full text

Automated 3D segmentation of the hyoid bone in CBCT using nnU-Net v2: a retrospective study on model performance and potential clinical utility by Ismail Gümüssoy, Emre Haylaz, Suayip Burak Duman, Fahrettin Kalabalik, Seyda Say, Ozer Celik, Ibrahim Sevki Bayrakdar

“…Abstract Objective This study aimed to identify the hyoid bone (HB) using the nnU-Net based artificial intelligence (AI) model in cone beam computed tomography (CBCT) images and assess the model’s success in automatic segmentation. …”
Get full text

CT-based radiomics features for the differential diagnosis of nodular goiter and papillary thyroid carcinoma: an analysis employing propensity score matching by Haiming Zhang, Zhenyu Li, Fengtao Zhang, Hengguo Li

Get full text

Application of Graph-Theoretic Methods Using ERP Components and Wavelet Coherence on Emotional and Cognitive EEG Data by Sencer Melih Deniz, Ahmet Ademoglu, Adil Deniz Duru, Tamer Demiralp

Get full text

Carotid Body Size on CT Angiography in Patients With COVID-19 Pneumonia by Kamber Goksu, Ahmet Vural, Ahmet Nedim Kahraman

Get full text

Multi-CNN Deep Feature Fusion and Stacking Ensemble Classifier for Breast Ultrasound Lesion Classification by Kemal PANÇ, Sümeyye SEKMEN

Get full text

A Multi-Level Integrated EEG-Channel Selection Method Based on the Lateralization Index by Junhong Luo, Qing Liu, Pengrui Tai, Guanglin Li, Yongcheng Li

“…The importance of optimizing channel selection for portable brain-computer interface (BCI) technology is increasingly recognized. …”
Get full text